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Sparse data interpolation using the geodesic distance affinity space
[article]
2019
arXiv
pre-print
In this paper, we adapt the geodesic distance-based recursive filter to the sparse data interpolation problem. The proposed technique is general and can be easily applied to any kind of sparse data. We demonstrate the superiority over other interpolation techniques in three experiments for qualitative and quantitative evaluation. In addition, we compare our method with the popular interpolation algorithm presented in the EpicFlow optical flow paper that is intuitively motivated by a similar
arXiv:1905.02229v1
fatcat:23cocc2hl5efxlbtli7v64c43a